pedLInv4

<p>An L inverse matrix generated from an AlphaSimR simulation of 20 generations.
One population, ABCD, is split into four, A, B, C, D.</p>

datasets

Carry out principal component analysis (PCA) of very large pedigrees such as found
in breeding populations! This package, 'randPedPCA', exploits sparse matrices and randomised
linear algebra to deliver a gazillion-times speed-up compared to naive singular value decoposition (SVD)
(and eigen decomposition).

Hannes Becher

randPedPCA

Fast PCA for Large Pedigrees

Hanbin Lee

Ros Craddock

Gregor Gorjanc

pedLInv4 function

<p>## `pedLInv4`
Matrix object of class 'spam' of dimension 4200x4200,
    with 12200 (row-wise) nonzero elements.
    Density of the matrix is 0.0692
    Class 'spam' (32-bit)</p>

Format

Example pedigree L inverse matrix — pedLInv4

Example pedigree L inverse matrix

pedLInv4: Example pedigree L inverse matrix

Description

Usage

Arguments

Format